36 lines
1 KiB
R
36 lines
1 KiB
R
|
context("Train and predict with factors")
|
||
|
|
||
|
test_that("Competing Risks doesn't crash", {
|
||
|
set.seed(5)
|
||
|
|
||
|
sampleData <- data.frame(x=rnorm(100), z=sample(letters[1:3], replace=TRUE, size=100))
|
||
|
sampleData$Time <- rexp(100) + abs(sampleData$x)
|
||
|
sampleData$delta <- sample(0:2, size = 100, replace=TRUE)
|
||
|
|
||
|
testData <- sampleData[1:5,]
|
||
|
trainingData <- sampleData[6:100,]
|
||
|
|
||
|
forest <- train(CR_Response(delta, Time) ~ x + z, trainingData, ntree=50, numberOfSplits=0, mtry=1, nodeSize=5, cores=2)
|
||
|
|
||
|
predictions <- predict(forest, testData)
|
||
|
|
||
|
expect_true(T) # show Ok if we got this far
|
||
|
|
||
|
})
|
||
|
|
||
|
test_that("Regresssion doesn't crash", {
|
||
|
set.seed(6)
|
||
|
|
||
|
sampleData <- data.frame(x=rnorm(100), z=sample(letters[1:3], replace=TRUE, size=100))
|
||
|
sampleData$y <- rexp(100) + sampleData$x
|
||
|
|
||
|
testData <- sampleData[1:5,]
|
||
|
trainingData <- sampleData[6:100,]
|
||
|
|
||
|
forest <- train(y ~ x + z, trainingData, ntree=50, numberOfSplits=0, mtry=1, nodeSize=5, cores=2)
|
||
|
|
||
|
predictions <- predict(forest, testData)
|
||
|
|
||
|
expect_true(T) # show Ok if we got this far
|
||
|
|
||
|
})
|